Databricks Machine Learning Associate Question 39
Single answerYou are tasked with setting up a Databricks cluster optimized for machine learning workloads. Which of the following steps is necessary to create a cluster with the Databricks Runtime for Machine Learning?
- A
Select 'Databricks Runtime for Machine Learning' as the runtime version when configuring the cluster.
- B
Enable the Auto ML feature in the cluster configuration settings.
- C
Select a GPU-based instance type to ensure compatibility with the Databricks Runtime for Machine Learning.
- D
Install machine learning libraries manually after creating a standard cluster.
Show answer and explanation
Correct answer: A
Explanation
To create a cluster with the Databricks Runtime for Machine Learning, you need to select the appropriate runtime version during cluster configuration. This runtime includes pre-installed libraries and optimizations for machine learning tasks, simplifying the setup process. While other options may relate to machine learning workflows, they are not specific to the task of creating a cluster with the Databricks Runtime for Machine Learning.
- A. Correct.
This is correct because selecting 'Databricks Runtime for Machine Learning' ensures the cluster is pre-configured with libraries and optimizations specifically for machine learning tasks.
- B. Incorrect.
This is incorrect because the Auto ML feature is a separate functionality and is not required for creating a cluster with the Databricks Runtime for Machine Learning.
- C. Incorrect.
This is incorrect because GPU-based instances are optional for machine learning clusters and not a mandatory requirement for using the Databricks Runtime for Machine Learning.
- D. Incorrect.
This is incorrect because the Databricks Runtime for Machine Learning already includes pre-installed machine learning libraries, so manual installation is not necessary.